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International Journal of Remote Sensing Volume 43, 2022 - Issue 11
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Research Article

Multi-objective multi-verse optimizer based unsupervised band selection for hyperspectral image classification

Shrutika S. Sawanta Multimodal Human Sensing, Fraunhofer-Institut für Integrierte Schaltungen IIS Am Wolfsmantel, Erlangen, GermanyView further author information
,
Manoharan Prabukumarb School of Information Technology & Engineering, Vellore Institute of Technology, Vellore, IndiaCorrespondence[email protected]
View further author information
,
Agilandeeswari Loganathanb School of Information Technology & Engineering, Vellore Institute of Technology, Vellore, IndiaView further author information
,
Farhan A. Alenizic Electrical Engineering Department, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi ArabiaView further author information
&
Subodh Ingaleshward Department of E & IE, JSSATE, Bengaluru, indiaView further author information
Pages 3990-4024 | Received 22 Feb 2022, Accepted 18 Jul 2022, Published online: 12 Aug 2022

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Mohammed Abdulmajeed Moharram & Divya Meena Sundaram. (2024) Mayfly algorithm-based semi-supervised band selection with enhanced bitonic filter for spectral-spatial hyperspectral image classification. International Journal of Remote Sensing 45:6, pages 2073-2108.
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Xiaoqing Wan & Shuanghao Chen. (2023) Hyperspectral image classification using improved multi-scale block local binary pattern and bi-exponential edge-preserving smoother. European Journal of Remote Sensing 56:1.
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M. Krishna Satya Varma, K. Raja & N. K. Kameswara Rao. (2023) Hybrid optimal joint spatial-spectral hyperspectral image classification using modified DHO-based GIF with JRKNN. The Imaging Science Journal 71:7, pages 585-598.
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Hui Chao, Shichuan Qian, Zhi Wang, Xin Sheng, Xinping Zhao, Zhiyan Lu, Xiaoxia Li, Yinguang Xu, Shaohua Jin, Lijie Li & Kun Chen. (2024) Quantitative analysis of the hexamethylenetetramine concentration in a hexamethylenetetramine–acetic acid solution using near infrared spectroscopy: A comprehensive study on preprocessing methods and variable selection techniques. Journal of Near Infrared Spectroscopy 32:1-2, pages 46-54.
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Sreejam Muraleedhara Bhakthan & Agilandeeswari Loganathan. (2024) A hyperspectral unmixing model using convolutional vision transformer. Earth Science Informatics.
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Xiaodi Shang, Yiqi Duan, Xiaopeng Wang, Baijia Fu & Xudong Sun. (2024) Anomaly‐background separation and particle swarm optimization based band selection for hyperspectral anomaly detection. IET Image Processing.
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Ganji Tejasree & Loganathan Agilandeeswari. (2024) An extensive review of hyperspectral image classification and prediction: techniques and challenges. Multimedia Tools and Applications.
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Radhesyam Vaddi, B.L.N. Phaneendra Kumar, Prabukumar Manoharan, L. Agilandeeswari & V. Sangeetha. (2024) Strategies for dimensionality reduction in hyperspectral remote sensing: A comprehensive overview. The Egyptian Journal of Remote Sensing and Space Sciences 27:1, pages 82-92.
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Meng Wu, Xianfeng Ou, Youli Lu, Wujing Li, Dan Yu, Zhihao Liu & Chengtao Ji. (2024) Heterogeneous Cuckoo Search-Based Unsupervised Band Selection for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing 62, pages 1-16.
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P. Aberna & L. Agilandeeswari. (2023) Digital image and video watermarking: methodologies, attacks, applications, and future directions. Multimedia Tools and Applications 83:2, pages 5531-5591.
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Mostafa Kabolizadeh, Kazem Rangzan & Khalil Habashi. (2023) Improving classification accuracy for separation of area under crops based on feature selection from multi-temporal images and machine learning algorithms. Advances in Space Research 72:11, pages 4809-4824.
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Zhongming Pei, Yong Mao Huang & Ting Zhou. (2023) Review on Analysis Methods Enabled by Hyperspectral Imaging for Cultural Relic Conservation. Photonics 10:10, pages 1104.
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Keming Yang & Yanru Li. (2023) Effects of water stress and fertilizer stress on maize growth and spectral identification of different stresses. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 297, pages 122703.
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Shrutika S. Sawant, F. X. Erick, St. Göb, Nina Holzer, Elmar W. Lang & Theresa Götz. (2023) An adaptive binary particle swarm optimization for solving multi-objective convolutional filter pruning problem. The Journal of Supercomputing.
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Zheng Zhou, Yu Yang, Gan Zhang, Libing Xu & Mingqing Wang. (2023) EBM3GP: A novel evolutionary bi-objective genetic programming for dimensionality reduction in classification of hyperspectral data. Infrared Physics & Technology 129, pages 104577.
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Mohammed Abdulmajeed Moharram & Divya Meena Sundaram. (2022) Dimensionality reduction strategies for land use land cover classification based on airborne hyperspectral imagery: a survey. Environmental Science and Pollution Research 30:3, pages 5580-5602.
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